Manav.id
use case · hiring integrity

The person you interviewed isn't the person who shows up.

A candidate aces four video interviews. The references check out. Then a different human logs in on day one — or the same face, run live through a deepfake, never existed at all. Gartner projects that by 2028, one in four candidate profiles worldwide will be fake. Manav binds a single human signature to the interview, the offer, and the first login. If the human changes, the hire stops.

The problem

Proxy interviews and real-time deepfakes have made "we interviewed them" meaningless.

A proxy interview puts a stronger ringer on the call while the real hire feeds answers through an earpiece. A deepfake replaces the face and voice on the video call entirely. Both pass structured interviews, reference checks, and ID screenshots — and both produce a day-one employee who can't do the job, or who was never the person you assessed. Google and McKinsey have already reintroduced mandatory in-person rounds to fight it.

1 in 4
candidate profiles fake by 2028 (Gartner)
+1,300%
deepfake hiring-fraud attempts, 2023→2024
31%
hiring managers who hit a suspected deepfake candidate (Greenhouse, 4,136 surveyed)
19%
of managers confident they'd catch a fake applicant
Why everyone feels this

The interview and the job are two different rooms. Nothing connects the human across them.

1
Interview. A confident, articulate candidate clears every round. You assessed this human.
2
Offer & onboarding. Paperwork is signed remotely. ID is a photo upload. No one re-checks who is on the other end.
3
Day one. A different person logs in — or the original "person" was a live deepfake. By the time output looks wrong, they've had production access for weeks. Infosys caught one proxy hire in 15 days, only because the work was so much worse than the interview.
See it work · 10-second demo

Same hire, two worlds. Press a button.

live demo · nothing to install

Tuesday: the candidate you interviewed signs once on their own device. Monday: someone logs in to start the job. Run day-one both ways and watch what each world does.

① Interview · signed
Maya Chen
Cleared 4 rounds · signed with Face ID
interview sig · 9f3a·c2…d1
② Day one · who logged in?
— pending —
Press a button below
 

What you're seeing: the interview produces a hardware-bound signature. On day one, Manav re-checks that the same human is present before any laptop or login is issued.

The fix

Bind the interview to a human signature. Require the same signature at offer and at first login.

// 1. At the start of the first interview, mint a binding
const { manav_id } = await manav.bind({
  context: "hiring/interview",
  req_id:  candidate.requisitionId
});  // candidate touches Touch ID / Face ID on their own device

// 2. At offer-sign and again at day-one provisioning, re-verify
const { same_human, trust_score } = await manav.verify({
  manav_id,
  context: "hiring/onboarding"
});

if (!same_human)        return hold("identity_mismatch_block_provisioning");
if (trust_score < 70) return hold("liveness_or_device_anomaly");

return provision(employee, { anchored_to: manav_id });

The signature is produced by the candidate's own device passkey, with platform liveness — a real finger or face on real hardware, not a screenshot or a rendered video. A deepfake can fake a webcam; it cannot produce a hardware-bound assertion. And because the same signature must reappear at onboarding, a proxy swap is caught before the new hire ever touches your systems — not 15 days later.

ROI · live calculator

The cost of one bad-faith hire reaching your systems.

A mis-hire that clears onboarding burns recruiter and manager time, ramp, severance, and re-hire — and, if the candidate was an impostor, incident response. Industry-standard fully-loaded cost of a failed knowledge-worker hire runs 30% of first-year salary, before any breach.

// Fraudulent-profile rate (Gartner 2028 trend, blended): 8%
// Suspect hires reaching onboarding / yr: 32
// Cost per mis-hire (30% of salary): $42,000
// Annual exposure: $1,344,000
// Manav verify cost: $2,000
// Net avoided: $1,342,000
in production

Where teams wire this in.

ATS & video interview

Interview-room binding

The candidate signs once at the first live round. Every later stage re-checks the same human. Greenhouse, Ashby, and HackerRank flows wrap a single call.

HRIS & IT provisioning

Day-one gate

Provisioning in Workday / Okta is held until the onboarding signature matches the interview signature. No match, no laptop, no SSO.

enterprise security

Pre-breach screen

17% of managers have already met a deepfake candidate. Binding identity at hire closes the front door the FBI keeps warning about.

Get started

Close the gap between the interview and the job.

→ See also: the sleeper on the payroll · bot job applications